Replication materials for "Gender and Transitional Justice: Explaining Global Trends"

Kathryn Sikkink (kathryn_sikkink@hks.harvard.edu)
Helen Clapp (helenclapp@hks.harvard.edu)
Daniel Marin-Lopez (d.marin46@uniandes.edu.co)
Averell Schmidt (aschmidt@g.harvard.edu)

International Journal of Transitional Justice

June 2024

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This replication archive contains all code and data necessary for reproducing the analyses contained in the paper and supplementary material.

Author successfully replicated the results in the following computing environment:

- MacBook Pro, 13", 2020
- Processor: 2.3 GHz Quad-Core Intel Core i7 
- Memory: 32 GB
- Operating system: macOS Monterey 12.6.3 
- Platform: x86_64-apple-darwin17.0 (64-bit)
- R version 4.2.0 (2022-04-22) -- "Vigorous Calisthenics"
- RStudio: 2023.12.1+402 

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To reproduce the results:
1. Open R and set the working directory to the current folder (e.g., the folder containing this file)
2. Run replication_code.R (run time: less than one minute, but depends on packages installed locally)
      
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List of archive contents:

1. data: folder containing all data required for analyses (note: further data and descriptions are available at: https://transitionaljusticedata.org)
	- tjet_accused.csv: TJET trials data at the accusation level 
	- tjet_cy.csv: TJET country-year data
	- tjet_reparations.csv: TJET reparations data
	- tjet_tcs.csv: TJET truth commissions data
	- tjet_trials.csv: TJET trials data at the trial level 
	
2. readme.txt: this file 

3. replication_code.R: R code required to replicate all analyses presented in the article and appendices

